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Association rule mining (ARM) is the process of finding frequent patterns and associations between set of objects from information repositories. Finding optimized techniques for generating association rules from large repositories has become a major area of study. The main purpose of this function is to find frequent patterns, associations and relationship between various database using different Algorithms. ARM is used to improve decisions making in the applications. ARM became essential in an information- and decision-overloaded world. They changed the way users make decisions, and helped their creators to increase revenue at the same time. Bringing ARM to a broader audience is essential in order to popularize them beyond the limits of scientific research and high technology entrepreneurship. ARM will assist you in reaching quality, informed decisions. Experimental results demonstrate that the improved FP-Growth algorithm is more efficient and suitable for the mining of large-scale transaction databases. [ABSTRACT FROM AUTHOR]

Association rule mining (ARM) is the process of finding frequent patterns and associations between set of objects from information repositories. Finding optimized techniques for generating association rules from large repositories has become a major area of study. The main purpose of this function is to find frequent patterns, associations and relationship between various database using different Algorithms. ARM is used to improve decisions making in the applications. ARM became essential in an information- and decision-overloaded world. They changed the way users make decisions, and helped their creators to increase revenue at the same time. Bringing ARM to a broader audience is essential in order to popularize them beyond the limits of scientific research and high technology entrepreneurship. ARM will assist you in reaching quality, informed decisions. Experimental results demonstrate that the improved FP-Growth algorithm is more efficient and suitable for the mining of large-scale transaction databases. [ABSTRACT FROM AUTHOR]